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Pre-Test Data Governance, Data Quality, Policy-Standard

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

Which of the following best represents a key responsibility of a Data Governance Council?

a)

Developing data visualization dashboards

b)

Managing data entry for operational systems

c)

Establishing and enforcing data ownership roles

d)

Performing ETL (Extract, Transform, Load) operations

2.

Which principle is least likely to be included in a Data Governance framework?

a)

Accountability

b)

Data integration techniques

c)

Transparency

d)

Stewardship

3.

What is the most significant risk of failing to establish proper data governance policies?

a)

Increased cloud storage costs

b)

Loss of trust in data for decision-making

c)

Inability to train machine learning models

d)

Difficulty in scaling databases

4.

Which metric is most appropriate to measure the accuracy of a dataset?

a)

Percentage of null values

b)

Ratio of correctly entered values to total entries

c)

Percentage of redundant data records

d)

Time taken to process a query

5.

When identifying duplicate records in a dataset, which technique would be most effective?

a)

Hashing algorithms

b)

Linear regression

c)

Data normalization

d)

Clustering techniques

6.

Which of the following describes a key principle of data completeness?

a)

Ensuring all critical data fields are populated

b)

Guaranteeing that no duplicate data exists in the dataset

c)

Normalizing the data to fit a specific schema

d)

Validating the accuracy of data entries

7.

What is the primary distinction between a policy and a standard in data management?

a)

Policies are optional; standards are mandatory

b)

Policies define what to achieve, while standards define how to achieve it

c)

Standards are broader in scope than policies

d)

Policies focus on technical implementation, while standards focus on compliance

8.

When implementing new data management procedures, which factor is least likely to be addressed by a guideline?

a)

Common practices for data backup

b)

Specific hardware configurations

c)

Steps to resolve data errors

d)

Situational recommendations for data retention

9.

In an organization, who is typically responsible for enforcing adherence to data management standards?

a)

Data analysts

b)

IT support staff

c)

Data stewards

d)

Marketing teams

10.

Which is the most important focus of a Personal Data Protection (PDP) training program?

a)

Increasing familiarity with all organizational software tools

b)

Ensuring compliance with data protection laws and best practices

c)

Enhancing technical skills for data modeling

d)

Learning to use machine learning techniques

11.

Which regulation most directly relates to PDP requirements in the European Union?

a)

HIPAA

b)

PCI-DSS

c)

GDPR

d)

SOX

12.

During a PDP training session, which example would best illustrate the principle of "purpose limitation"?

a)

Data collected for marketing purposes cannot be used for employee surveillance

b)

Encrypting data to ensure it is not accessible without authorization

c)

Ensuring users are informed about their data being collected

d)

Deleting redundant customer records to improve efficiency

13.

An organization notices inconsistent definitions of "customer" across departments. Which data management area is most likely to address this issue?

a)

Data Quality

b)

Data Governance

c)

Data Security

d)

Data Engineering

14.

A company needs to audit its personal data processing activities. Which principle of GDPR is most directly related?

a)

Accountability

b)

Lawfulness, fairness, and transparency

c)

Data minimization

d)

Storage limitation

15.

What is the primary purpose of establishing retention schedules for personal data?

a)

To minimize storage costs

b)

To ensure compliance with legal and regulatory requirements

c)

To improve the accuracy of predictive models

d)

To simplify data transformation processes